Evidence map›Paper›PMID 41571927›Full record

ArticleScientific reports2026

Unveiling drought-tolerant mungbean genotypes through integrated multi-trait selection.

P S Basavaraj, Rohit Babar, Anuja Gangurde, V G Ishwarya Lakshmi, Shweta Shinde, Suraj Gund, K M Boraiah, C B Harisha, Hanamant M Halli, Dasari Sreekanth and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

P S BasavarajICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India. bassuptl@gmail.com.
Rohit BabarICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.
Anuja GangurdeICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.
V G Ishwarya LakshmiTexas A&M AgriLife Research Centre, Beaumont, TX, 77713, USA.
Shweta ShindeICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.
Suraj GundICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.
K M BoraiahICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India. bors_km@yahoo.co.in.
C B HarishaICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.
Hanamant M HalliICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.
Dasari SreekanthICAR-Directorate of Weed Research, Jabalpur, 482004, India.
Jagadish RaneICAR-Central Institute for Arid Horticulture, Bikaner, 334006, India.
Ramakrishnan M NairWorld Vegetable Center - South and Central Asia IN, Hyderabad, 502324, India.
K Sammi ReddyICAR-National Institute of Abiotic Stress Management, Baramati, 413115, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mungbean (Vigna radiata (L.) R. Wilczek var. radiata) is a highly nutritious legume grown in diverse cropping systems. However, its productivity is often hindered by abiotic stresses, particularly drought, which significantly impacts yield during critical growth stages such as flowering and pod filling. With climate change projected to increase drought frequency, leguminous crops are expected to be more vulnerable, exacerbating food security concerns. This study aimed to identify drought-tolerant mungbean genotypes by evaluating 122 genotypes (116 minicore accessions and six check varieties) under well-watered (WW) and drought-stressed (DS) conditions in a semi-controlled pot culture setup. Drought tolerance was assessed using multiple stress indices (e.g., STI, GMP), principal component analysis (PCA), and the multi-trait genotype-ideotype distance index (MGIDI). Significant genetic variability was observed across both WW and DS conditions, with drought stress leading to reductions in grain yield (21.1%), leaf area (35.4%), canopy greenness (32.1%), and photosynthetic rate (51.8%). Traits such as plant height, number of branches, pods per plant, seeds per pod, transpiration rate, and grain yield showed high heritability and genetic advance, indicating strong breeding potential. PCA analysis identified major traits contributing to drought tolerance, including yield-related traits and physiological responses, such as transpiration rate, stomatal conductance, and photosynthetic efficiency. MGIDI effectively identified 18 genotypes based on multi-trait performance. Among them, genotypes VI003685AG, VI002051BG, VI000852AG, VI002402BG, and VI003957AG consistently ranked as top performers across both traditional indices and MGIDI, demonstrating preliminary drought tolerance. The integration of stress indices, PCA, and MGIDI provided a comprehensive approach to genotype selection, offering potentially valuable genetic resources for future mungbean breeding programs targeting drought-prone environments. However, these findings are preliminary and require multi-location field validation before breeding use.

Indexed as

VignaDrought ResistanceDroughtsGenetic VariationGenotypePhenotypePlant BreedingStress, PhysiologicalDrought stressDrought toleranceMGIDI indexMulti-traitMungStress indices

Identifiers

PMID41571927
PMCPMC12901970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.